Apache Flink :Next Generation Big Data Framework

The demand for faster data processing has been increasing and real-time streaming data processing appears to be the answer. While Apache Spark is still being used in alot of organizations for big data processing, Apache Flink has been coming up fast as an alternative. In fact, many think that it has the potential to replace Apache Spark because of its ability to process streaming data in real time.

Let us see what Apache Flink is ?- It is a community-driven open source framework for distributed big data analytics, like Hadoop and Spark. It aims to bridge the gap between MapReduce-like systems and shared-nothing parallel database systems.Flink has built around a stream model, which it can apply to batch and SQL processing jobs as well. It includes libraries for complex event processing (essentially, a pattern detection system for streams), machine learning, and graph processing.